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Validating DTAPs with large language models: A novel approach to drug repurposing

Curtis et al. | Mar 02, 2025

Validating DTAPs with large language models: A novel approach to drug repurposing
Image credit: Growtika

Here, the authors investigated the integration of large language models (LLMs) with drug target affinity predictors (DTAPs) to improve drug repurposing, demonstrating a significant increase in prediction accuracy, particularly with GPT-4, for psychotropic drugs and the sigma-1 receptor. This novel approach offers to potentially accelerate and reduce the cost of drug discovery by efficiently identifying new therapeutic uses for existing drugs.

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